b'Jeff Z. Pan'

research

∙ 08/12/2023

HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion

Hyper-relational knowledge graphs (HKGs) extend standard knowledge graph...

0 Zhiwei Hu, et al. ∙

research

∙ 08/11/2023

Large Language Models and Knowledge Graphs: Opportunities and Challenges

Large Language Models (LLMs) have taken Knowledge Representation – and t...

0 Jeff Z. Pan, et al. ∙

research

∙ 05/25/2023

BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering

Unsupervised commonsense reasoning (UCR) is becoming increasingly popula...

0 Jie He, et al. ∙

research

∙ 03/18/2023

An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering

Large-scale pre-trained language models (PLMs) such as BERT have recentl...

2 Nan Hu, et al. ∙

research

∙ 03/16/2023

Wiki-based Communities of Interest: Demographics and Outliers

In this paper, we release data about demographic information and outlier...

0 Hiba Arnaout, et al. ∙

research

∙ 02/03/2023

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs

Knowledge graphs (KGs) have become effective knowledge resources in dive...

0 Mingyang Chen, et al. ∙

research

∙ 12/29/2022

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

As an important variant of entity alignment (EA), multi-modal entity ali...

10 Zhuo Chen, et al. ∙

research

∙ 10/20/2022

Transformer-based Entity Typing in Knowledge Graphs

We investigate the knowledge graph entity typing task which aims at infe...

5 Zhiwei Hu, et al. ∙

research

∙ 10/08/2022

Relational Message Passing for Fully Inductive Knowledge Graph Completion

In knowledge graph completion (KGC), predicting triples involving emergi...

7 Yuxia Geng, et al. ∙

research

∙ 09/30/2022

Construction and Applications of Open Business Knowledge Graph

Business Knowledge Graph is important to many enterprises today, providi...

11 Shumin Deng, et al. ∙

research

∙ 08/26/2022

Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models

We present a system for knowledge graph population with Language Models,...

1 Tianyi Li, et al. ∙

research

∙ 08/19/2022

Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph

Multi-modal aspect-based sentiment classification (MABSC) is an emerging...

14 Yufeng Huang, et al. ∙

research

∙ 08/19/2022

UnCommonSense: Informative Negative Knowledge about Everyday Concepts

Commonsense knowledge about everyday concepts is an important asset for ...

6 Hiba Arnaout, et al. ∙

research

∙ 07/04/2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning

Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...

0 Zhuo Chen, et al. ∙

research

∙ 06/08/2022

Disentangled Ontology Embedding for Zero-shot Learning

Knowledge Graph (KG) and its variant of ontology have been widely used f...

12 Yuxia Geng, et al. ∙

research

∙ 05/02/2022

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly ch...

8 Zhiwei Hu, et al. ∙

research

∙ 02/16/2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective

Knowledge Extraction (KE) which aims to extract structural information f...

0 Shumin Deng, et al. ∙

research

∙ 02/15/2022

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective

Knowledge graph (KG) reasoning is becoming increasingly popular in both ...

5 Wen Zhang, et al. ∙

research

∙ 08/27/2021

Geometric Models for (Temporally) Attributed Description Logics

In the search for knowledge graph embeddings that could capture ontologi...

0 Camille Bourgaux, et al. ∙

research

∙ 07/12/2021

Zero-shot Visual Question Answering using Knowledge Graph

Incorporating external knowledge to Visual Question Answering (VQA) has ...

13 Zhuo Chen, et al. ∙

research

∙ 06/29/2021

K-ZSL: Resources for Knowledge-driven Zero-shot Learning

External knowledge (a.k.a side information) plays a critical role in zer...

27 Yuxia Geng, et al. ∙

research

∙ 02/26/2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective

Zero-shot learning (ZSL) which aims at predicting classes that have neve...

21 Jiaoyan Chen, et al. ∙

research

∙ 02/15/2021

OntoZSL: Ontology-enhanced Zero-shot Learning

Zero-shot Learning (ZSL), which aims to predict for those classes that h...

11 Yuxia Geng, et al. ∙

research

∙ 06/30/2020

Ontology-guided Semantic Composition for Zero-Shot Learning

Zero-shot learning (ZSL) is a popular research problem that aims at pred...

0 Jiaoyan Chen, et al. ∙

research

∙ 07/02/2019

A Framework for Evaluating Snippet Generation for Dataset Search

Reusing existing datasets is of considerable significance to researchers...

0 Xiaxia Wang, et al. ∙

research

∙ 05/31/2019

Augmenting Transfer Learning with Semantic Reasoning

Transfer learning aims at building robust prediction models by transferr...

0 Freddy Lecue, et al. ∙

research

∙ 05/27/2019

Commonsense Properties from Query Logs and Question Answering Forums

Commonsense knowledge about object properties, human behavior and genera...

0 Julien Romero, et al. ∙

research

∙ 05/27/2019

Commonsense Properties from Query Logs and Question Anwering Forums

Commonsense knowledge about object properties, human behavior and genera...

0 Julien Romero, et al. ∙

research

∙ 07/22/2018

Knowledge-based Transfer Learning Explanation

Machine learning explanation can significantly boost machine learning's ...

0 Jiaoyan Chen, et al. ∙

Jeff Z. Pan

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